[1]} use the Internet Argument Corpus (IAC) [2]} which contains a set of 390,704 posts in 11,800 discussions extracted from the online debate site 4forums.com, annotated for several dialogic and argumentative markers, one of them being sarcasm. [3]} collect a dataset of movie and book reviews, along with news articles marked with sarcasm and sentiment. In an earlier study, [4]} garner 11,000 reviews of products with sarcastic expressions. [5]} present a corpus generation experiment where they collect regular and sarcastic Amazon product reviews. This resulting corpus can be used for identifying sarcasm on two levels: a document and a text utterance, where a text utterance can be as short as a sentence and as long as a whole document.
